Senior Data Scientist

**The Position**:
Are you a passionate data enthusiast who loves to dive deep into complex problems and emerge with clear, actionable insights? Do you thrive in a collaborative environment where your work can make a real difference? If so, we have an exciting opportunity for you.

**Tasks & responsibilities**:

- Dive headfirst into executing data science projects across various functions. Utilize your expertise in artificial intelligence, i.e. machine learning, causal inference, and natural language processing to solve challenging, non-routine analysis problems.
- Collaborate very closely with teams from the Thereapeutic Areas (such as Marketing, Market Access, HEOR, Digital Health), Medicine (such as Global Integrated Evidence / RWE), Regions (such as Customer Experience Excellence), and with data and technical experts such as data stewards, project/program managers, and IT, enabling the business to harness their data for smart decision-making. Your role will be crucial in fostering cross-functional collaboration with the shared goal of improving human health.
- Take responsibility for building computational models, discovering insights, and identifying opportunities. Use statistical and algorithmic methods, machine learning, and data visualization techniques to turn raw data into actionable insights.
- Ideate, design and build business-facing solutions with large language models, including a conversational agents and supplementary models for contextual support.
- You work will go beyond the numbers. You consult business teams by leveraging your data science expertise and scientific problem-solving skills to make a tangible difference in the world of human health.
- Manage medium to large-sized projects, potentially coordinating with external support. Potentially evaluate and build partnerships that leverage data science and data-driven solutions. Your leadership will drive our projects to success.
- Actively participate in cross-functional digital/data strategic initiatives. Your input and collaboration will be key in driving our digital transformation and achieving our strategic objectives.
- Step into a mentorship role, advising junior colleagues on technical methodologies. Your knowledge and guidance will shape the next generation of data scientists at Boehringer Ingelheim.
- Provide thought leadership by researching and instilling industry-leading practices. Conduct experiments and collaborate with industry leaders to keep Boehringer Ingelheim at the forefront of data science innovation.
- Act as a role model for agile approaches to initiatives and launches. Your agile mindset will help us adapt quickly to changes and deliver results more efficiently.

**Requirements**:

- Possess a Master's degree, PhD, or equivalent experience in a quantitative field such as Mathematics, Computer Science, Engineering, Bioinformatics, etc., with 5+ years of professional experience in successfully building and bringing into action data science solutions in a complex business environment.
- Demonstrated experience in working with large data sets and distributed computing technologies, such as Spark, as well as experience with cloud computing and popular machine learning frameworks.
- Professional development experience in programming (Python/R) and experience with SQL or NoSQL database systems is a must.
- Strong ability to build and sustain productive collaborative relationships with business partners and colleagues.
- Ability to communicate technical topics and analysis results clearly and effectively to business stakeholders, including senior business leaders to influence data driven decisions is a must.
- Change Management Expertise: Solid experience in change management, demonstrated through several high-impact business transformation projects.
- Technical Acumen: Broad understanding of current machine learning & AI technologies and technological developments, with the ability to evaluate potential benefits for data science projects.
- Data Science and Agile Collaboration: Relevant experience in data science, complemented by collaboration experience in an agile software development team.
- Experience with natural language processing and implementing Large Language Models in business context is strong plus.
- Familiarity with real-world-data such as claims and EMR data is a strong plus.
- Experience with developing digital products in cross-functional teams is a plus.
- Project experience in and market knowledge of the US healthcare system will be considered a great advantage.

***Ready to contact us?**:
If you have any questions about the job posting or process - please contact our HR Direct Team,